About

Louis Yang is a highly qualified Machine Learning Engineer at Google with a Ph.D. in Theoretical Physics from the University of California, Los Angeles. He is passionate about the fields of Machine Learning, AI, and Physics. Louis has achieved the rank of Competition Master on Kaggle with 1 gold medal and 3 silver medals, showcasing his expertise in the field of Machine Learning. Currently, Louis is working as a Machine Learning Engineer at Google Research - Perception - Image Understanding. In his role, he is responsible for developing and implementing machine learning models for image understanding. He is also involved in research and development of new algorithms and techniques for image recognition and classification. Prior to joining Google, Louis worked as a Senior Data Scientist at Tubular Labs. Here, he analyzed, designed, modeled, and productionized the digital audience measurement product including demographics, watch time, unique viewers, and topics for over 1B social videos in the world using machine learning. He also worked as a Postdoctoral Researcher at Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo. Here, he researched in the fields of theoretical particle physics, cosmology, and astrophysics. He built mathematical models to explain the phenomena in the universe such as the matter-antimatter asymmetry and dark matter. He tested theoretical models against observational data like Planck experiment via numerical calculations. He published and presented his results in peer-reviewed journals and conferences. Louis holds a Ph.D. in Physics from the University of California, Los Angeles, and a Bachelor of Science in Physics from the National Tsing Hua University. His technical skills include Machine Learning, Research Scientist, AI, and Data Scientist. He has 6.12 years of relevant experience in the field.